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You're reading from  Learning Responsive Data Visualization

Product typeBook
Published inMar 2016
Reading LevelIntermediate
Publisher
ISBN-139781785883781
Edition1st Edition
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Authors (2):
Erik Hanchett
Erik Hanchett
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Erik Hanchett

Erik Hanchett is a software developer, blogger, and perpetual student who has been writing code for over 10 years. He currently resides in Reno Nevada, with his wife and two kids. He blogs about software development at ProgramWithErik.com. I would like to thank my wife Susan for helping me stay motivated. My friend F.B. Woods for all his help on the English language and Dr. Bret Simmons for teaching me the value of a personal brand. I would also like to thank all my friends and family that encouraged me along the way.
Read more about Erik Hanchett

Christoph Körner
Christoph Körner
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Christoph Körner

Christoph Körner previously worked as a cloud solution architect for Microsoft, specializing in Azure-based big data and machine learning solutions, where he was responsible for designing end-to-end machine learning and data science platforms. He currently works for a large cloud provider on highly scalable distributed in-memory database services. Christoph has authored four books: Deep Learning in the Browser for Bleeding Edge Press, as well as Mastering Azure Machine Learning (first edition), Learning Responsive Data Visualization, and Data Visualization with D3 and AngularJS for Packt Publishing.
Read more about Christoph Körner

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Grouping data


Most of the time when we find data resources on the Internet, it has a flat data structure just as a comma separated list. But often, it contains hierarchical structured data. In D3, it is very easy to group data together by creating nested tree structures of the dataset. To achieve this, we can use the d3.nest() operator. This operator creates a nest object, which can further define a grouping key via the .key() method and a sorting function via the .sortKey() method. These functions can also be repeated to create multiple nested layers of the flat data structures. Let's take a look at the dataset:

var values = [
  {
    date: "04/23/12",
    key: "Group1",
    value: "37"
  },
  {
    date: "04/23/12",
    key: "Group2",
    value: "12"
  },
  {
    date: "04/23/12",
    key: "Group3",
    value: "46"
  }, ...
];

First, we create a nest function that will then group our data accordingly:

var nest = d3.nest()
  .key(function(d, i){
    return d.date;
  });

A nest now implements...

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Learning Responsive Data Visualization
Published in: Mar 2016Publisher: ISBN-13: 9781785883781

Authors (2)

author image
Erik Hanchett

Erik Hanchett is a software developer, blogger, and perpetual student who has been writing code for over 10 years. He currently resides in Reno Nevada, with his wife and two kids. He blogs about software development at ProgramWithErik.com. I would like to thank my wife Susan for helping me stay motivated. My friend F.B. Woods for all his help on the English language and Dr. Bret Simmons for teaching me the value of a personal brand. I would also like to thank all my friends and family that encouraged me along the way.
Read more about Erik Hanchett

author image
Christoph Körner

Christoph Körner previously worked as a cloud solution architect for Microsoft, specializing in Azure-based big data and machine learning solutions, where he was responsible for designing end-to-end machine learning and data science platforms. He currently works for a large cloud provider on highly scalable distributed in-memory database services. Christoph has authored four books: Deep Learning in the Browser for Bleeding Edge Press, as well as Mastering Azure Machine Learning (first edition), Learning Responsive Data Visualization, and Data Visualization with D3 and AngularJS for Packt Publishing.
Read more about Christoph Körner